Senior AI Applications Engineer — Azure LLM & Agent Systems

Signature Aviation; Orlando (FL); In loco; USD 140.000 - 200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

paid time off

Training and Development

Descrizione del lavoro

Signature Aviation is hiring a Senior AI Application Developer in Orlando to build agentic AI capabilities, multi-agent systems, and LLM-powered apps on Azure. You will own the capability end to end, including data, pipelines, and evaluation, embedded with business units and release teams.

You will deploy production-grade AI solutions, design robust workflows, and ensure security, observability, and cost management across enterprise platforms.

Competenze

• 5+ years in software, data, or ML engineering with recent hands-on delivery.
• Experience building production-grade LLM applications or agent-based AI systems.
• Hands-on Azure Foundry including Azure OpenAI models and governance.

Mansioni

• Build and deploy production LLM applications and agentic systems.
• Design stateful agent workflows with tool calling and memory.
• Integrate agents securely with enterprise systems using APIs and auth controls.
• Develop RAG and retrieval using Azure AI Search, Cosmos DB or pgvector.
• Ingest, transform, embed and feature pipelines using Azure Databricks or Microsoft Fabric.
• Evaluate model outputs and system performance with robust testing.
• Instrument calls and tool usage for observability and security.

Conoscenze

Python

TypeScript

LLM apps

Data pipelines

Cloud-native

Formazione

Bachelor's degree in CS/Engineering

Strumenti

Azure

Azure Foundry

Azure OpenAI

Cosmos DB

pgvector

LangGraph

Semantic Kernel

LangChain

Kubernetes

Descrizione del lavoro

Signature Aviation is hiring a Senior AI Application Developer in Orlando to build agentic AI capabilities, multi-agent systems, and LLM-powered apps on Azure. You will own the capability end to end, including data, pipelines, and evaluation, embedded with business units and release teams.

You will deploy production-grade AI solutions, design robust workflows, and ensure security, observability, and cost management across enterprise platforms.